Evidence map›Paper›PMID 37251460›Full record

ArticleHeliyon2023

Impact of mind-mapping technique on EFL learners' vocabulary recall and retention, learning motivation, and willingness to communicate.

Rui Feng, Haroon N Alsager, Zeinab Azizi, Leeda Sarabani

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
62.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 39 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 3 countries.

Rui FengShandong Vocational College of Science & Technology, Shandong Province, 261053, China.
Haroon N AlsagerDepartment of English, College of Science and Humanities, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia.
Zeinab AziziTeaching English and Linguistics Department, University of Ayatollah Ozma Borujerdi, Borujerd, Iran.
Leeda SarabaniEnglish Department, Kabul University Kabul, Afghanistan.
Ayatollah Boroujerdi University · IRKabul University · AFPrince Sattam Bin Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study sought to investigate the effects of using the mind-mapping technique on Iranian English as a foreign language (EFL) learners' vocabulary recall and retention, learning motivation, and willingness to communicate (WTC). To accomplish this, 98 EFL learners were chosen and homogenized through the Oxford Quick Placement test (OQPT) and divided into a control group (CG) (n = 30) and an experimental group (EG) (n = 30). After that, the chosen students were pretested on vocabulary, learning motivation, and WTC. Subsequently, two different instructions were given to the two groups; the mind-mapping instruction was used in the EG and a conventional instruction was used in the CG. Then, a 23-session treatment, a vocabulary post-test (both immediate and delayed) and two questionnaires measuring learning motivation and WTC were given to both groups to assess the effectiveness of the instruction on their vocabulary knowledge, learning motivation, and WTC. The results of the statistical analyses showed that the EG outperformed the CG in terms of gains in vocabulary recall and retention, learning motivation, and WTC. At the end of the study, the implications of the results were discussed.

Indexed as

Learning motivationMind-mapping techniqueVocabulary recall and retentionWillingness to communicate

Identifiers

PMID37251460
PMCPMC10220411
OpenAlexW4377691786

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.